Transformative Artificial Intelligence and Machine Learning Based Strategies to Identify Determinants of Exceptional Health and Life Span (R21/R33 Clinical Trial Not Allowed)

The summary for the Transformative Artificial Intelligence and Machine Learning Based Strategies to Identify Determinants of Exceptional Health and Life Span (R21/R33 Clinical Trial Not Allowed) grant is detailed below. This summary states who is eligible for the grant, how much grant money will be awarded, current and past deadlines, Catalog of Federal Domestic Assistance (CFDA) numbers, and a sampling of similar government grants. Verify the accuracy of the data FederalGrants.com provides by visiting the webpage noted in the Link to Full Announcement section or by contacting the appropriate person listed as the Grant Announcement Contact. If any section is incomplete, please visit the website for the National Institutes of Health, which is the U.S. government agency offering this grant.

Transformative Artificial Intelligence and Machine Learning Based Strategies to Identify Determinants of Exceptional Health and Life Span (R21/R33 Clinical Trial Not Allowed): This Funding Opportunity Announcement (FOA) invites applications seeking to develop novel, transformative artificial intelligence/machine learning (AI/ML) strategies, and computer automation, to integrate, extract, and interpret multi-omic (i.e., genome, epigenome, transcriptome, proteome, metabolome, microbiome, phenome) data sets from human exceptional longevity (EL) cohorts and multiple non-human species that display wide variation in life span and decipher the relationships between DNA, RNA, proteins, metabolites, and other cell variables, as well as links to disease risks and exceptionally healthy aging. The investigative team(s) for this FOA is/are expected to be multi-disciplinary, encompassing expertise in AI/ML and a variety of disciplines, including, but not limited to, aging biology, comparative biology, and bio/chemo informatics. This FOA utilizes the National Institutes of Health's Phased Innovation Award (R21/R33) funding mechanism. During the R21 phase, investigative teams will design and develop intelligent and innovative algorithms and novel AI/ML based computational strategies. During the R33 phase, teams will apply the developed AI/ML tools to complex, heterogenous multi-omic data sets from exceptional healthy aging human cohorts and non-human species to discover novel protective molecular factors that influence EL, and to develop translational strategies on omic based therapeutic target(s) to prevent, or delay, age-related diseases, including Alzheimers disease (AD) and AD-related dementia (ADRD), and enhance human health span.

Federal Grant Title:	Transformative Artificial Intelligence and Machine Learning Based Strategies to Identify Determinants of Exceptional Health and Life Span (R21/R33 Clinical Trial Not Allowed)
Federal Agency Name:	National Institutes of Health (HHS-NIH11)
Grant Categories:	Health
Type of Opportunity:	Discretionary
Funding Opportunity Number:	RFA-AG-23-033
Type of Funding:	Grant
CFDA Numbers:	93.866
CFDA Descriptions:	Information not provided
Current Application Deadline:	November 23rd, 2022
Original Application Deadline:	November 23rd, 2022
Posted Date:	June 22nd, 2022
Creation Date:	June 22nd, 2022
Archive Date:	December 23rd, 2022
Total Program Funding:
Maximum Federal Grant Award:	$350,000
Minimum Federal Grant Award:
Expected Number of Awards:
Cost Sharing or Matching:	No
Last Updated:	November 22nd, 2022

Applicants Eligible for this Grant: State governments - County governments - City or township governments - Special district governments - Independent school districts - Public and State controlled institutions of higher education - Native American tribal governments (Federally recognized) - Public housing authorities/Indian housing authorities - Native American tribal organizations (other than Federally recognized tribal governments) - Nonprofits having a 501 (c) (3) status with the IRS, other than institutions of higher education - Nonprofits that do not have a 501 (c) (3) status with the IRS, other than institutions of higher education - Private institutions of higher education - For-profit organizations other than small businesses - Small businesses - Others (see text field entitled "Additional Information on Eligibility" for clarification.)
Additional Information on Eligibility: Other Eligible Applicants include the following: Alaska Native and Native Hawaiian Serving Institutions; Asian American Native American Pacific Islander Serving Institutions (AANAPISISs); Eligible Agencies of the Federal Government; Faith-based or Community-based Organizations; Hispanic-serving Institutions; Historically Black Colleges and Universities (HBCUs); Indian/Native American Tribal Governments (Other than Federally Recognized); Non-domestic (non-U.S.) Entities (Foreign Organizations); Regional Organizations; Tribally Controlled Colleges and Universities (TCCUs) ; U.S. Territory or Possession; Non-domestic (non-U.S.) Entities (Foreign Institutions) are not eligible to apply. Non-domestic (non-U.S.) components of U.S. Organizations are eligible to apply. Foreign components, as defined in the NIH Grants Policy Statement, are allowed.
Link to Full Grant Announcement: http://grants.nih.gov/grants/guide/rfa-files/RFA-AG-23-033.html
Grant Announcement Contact: NIH OER Webmaster
[email protected]
See Section VII. Agency Contacts within the full opportunity announcement for all other inquires.
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